Machine Learning Ops Engineer - Real Estate
Description For Machine Learning Ops Engineer - Real Estate
Truelogic, a New York-based leader in nearshore staff augmentation, is seeking a Machine Learning Ops Engineer for their real estate client who is revolutionizing the rental experience through AI-driven solutions. This role focuses on building and optimizing ML infrastructure, requiring expertise in designing robust data pipelines and implementing scalable systems.
The ideal candidate will have 5+ years of experience in ML Ops, bringing profound knowledge of cloud platforms, containerization, and CI/CD pipelines. You'll work with cutting-edge technologies like Kubernetes, Docker, and various ML Ops tools while managing the complete lifecycle of ML models from development to production.
Working remotely, you'll join a diverse team of 600+ professionals across 25+ countries, contributing to transformative projects that shape the future of real estate technology. The position offers competitive USD compensation, flexible work arrangements, and comprehensive benefits including medical coverage.
This opportunity is perfect for someone who values autonomy, seeks to work with top U.S. companies, and wants to be part of a culture that prioritizes work-life balance. You'll collaborate with senior talent while building scalable ML solutions that directly impact the rental market.
The role combines technical challenges with real-world impact, offering the chance to work on innovative projects while enjoying the benefits of remote work and professional growth. Join a forward-thinking team that's using AI to revolutionize how people find and secure their ideal rental properties.
Responsibilities For Machine Learning Ops Engineer - Real Estate
- Build and manage automated, reproducible ML pipelines for data ingestion, training, validation, deployment, and monitoring
- Develop scalable model-serving architectures, including containerized deployments, APIs, and real-time frameworks
- Automate infrastructure workflows, establishing CI/CD pipelines for ML models with robust versioning and rollback mechanisms
- Monitor model performance and data drift in production, ensuring accuracy and system health
- Collaborate with cross-functional teams to promote best practices for ML reproducibility, scalability, and maintenance
Requirements For Machine Learning Ops Engineer - Real Estate
- 5+ years of experience in ML Ops, Data Engineering, or DevOps roles
- Proficiency with cloud platforms such as GCP, AWS, or Azure, and ML Ops tools like Kubeflow, MLflow, or SageMaker
- Expertise in containerization (Docker, Kubernetes) and CI/CD pipelines (GitLab CI, Jenkins, CircleCI)
- Hands-on experience with data pipeline orchestration tools like Airflow
- Strong knowledge of data versioning, feature stores, and model lifecycle management
Benefits For Machine Learning Ops Engineer - Real Estate
- 100% Remote Work
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Work with Top American Companies
